Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.

MOTA, R.R. - TEMPELMAN, R.J. - FERNANDO F CARDOSO - AGUILAR, I. - LOPES, P.S.

Resumen:

ABSTRACT.The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models.


Detalles Bibliográficos
2014
Cross validation
Single-step
Tick counts
Inglés
Instituto Nacional de Investigación Agropecuaria
AINFO
http://www.ainfo.inia.uy/consulta/busca?b=pc&id=61924&biblioteca=vazio&busca=61924&qFacets=61924
Acceso abierto
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author MOTA, R.R.
author2 TEMPELMAN, R.J.
FERNANDO F CARDOSO
AGUILAR, I.
LOPES, P.S.
author2_role author
author
author
author
author_facet MOTA, R.R.
TEMPELMAN, R.J.
FERNANDO F CARDOSO
AGUILAR, I.
LOPES, P.S.
author_role author
bitstream.checksum.fl_str_mv 18cddaabd6662e31e6ed6fa2f2849630
bitstream.checksumAlgorithm.fl_str_mv MD5
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collection AINFO
dc.creator.none.fl_str_mv MOTA, R.R.
TEMPELMAN, R.J.
FERNANDO F CARDOSO
AGUILAR, I.
LOPES, P.S.
dc.date.accessioned.none.fl_str_mv 2022-10-21T01:49:02Z
dc.date.available.none.fl_str_mv 2022-10-21T01:49:02Z
dc.date.issued.none.fl_str_mv 2014
dc.date.updated.none.fl_str_mv 2022-10-21T01:49:02Z
dc.description.abstract.none.fl_txt_mv ABSTRACT.The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models.
dc.identifier.none.fl_str_mv http://www.ainfo.inia.uy/consulta/busca?b=pc&id=61924&biblioteca=vazio&busca=61924&qFacets=61924
dc.language.iso.none.fl_str_mv en
eng
dc.rights.es.fl_str_mv Acceso abierto
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:AINFO
instname:Instituto Nacional de Investigación Agropecuaria
instacron:Instituto Nacional de Investigación Agropecuaria
dc.subject.none.fl_str_mv Cross validation
Single-step
Tick counts
dc.title.none.fl_str_mv Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.
dc.type.none.fl_str_mv ConferenceObject
PublishedVersion
info:eu-repo/semantics/conferenceObject
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description ABSTRACT.The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models.
eu_rights_str_mv openAccess
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publishDate 2014
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repository.mail.fl_str_mv lorrego@inia.org.uy
repository.name.fl_str_mv AINFO - Instituto Nacional de Investigación Agropecuaria
repository_id_str
rights_invalid_str_mv Acceso abierto
spelling 2022-10-21T01:49:02Z2022-10-21T01:49:02Z20142022-10-21T01:49:02Zhttp://www.ainfo.inia.uy/consulta/busca?b=pc&id=61924&biblioteca=vazio&busca=61924&qFacets=61924ABSTRACT.The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models.https://hdl.handle.net/20.500.12381/1733enenginfo:eu-repo/semantics/openAccessAcceso abiertoCross validationSingle-stepTick countsGenomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.ConferenceObjectPublishedVersioninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:AINFOinstname:Instituto Nacional de Investigación Agropecuariainstacron:Instituto Nacional de Investigación AgropecuariaMOTA, R.R.TEMPELMAN, R.J.FERNANDO F CARDOSOAGUILAR, I.LOPES, P.S.SWORDsword-2022-10-20T22:49:02.original.xmlOriginal SWORD entry documentapplication/octet-stream1997https://redi.anii.org.uy/jspui/bitstream/20.500.12381/1733/1/sword-2022-10-20T22%3a49%3a02.original.xml18cddaabd6662e31e6ed6fa2f2849630MD5120.500.12381/17332022-10-20 22:49:03.035oai:redi.anii.org.uy:20.500.12381/1733Gobiernohttp://inia.uyhttps://redi.anii.org.uy/oai/requestlorrego@inia.org.uyUruguayopendoar:2022-10-21T01:49:03AINFO - Instituto Nacional de Investigación Agropecuariafalse
spellingShingle Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.
MOTA, R.R.
Cross validation
Single-step
Tick counts
status_str publishedVersion
title Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.
title_full Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.
title_fullStr Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.
title_full_unstemmed Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.
title_short Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.
title_sort Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.
topic Cross validation
Single-step
Tick counts
url http://www.ainfo.inia.uy/consulta/busca?b=pc&id=61924&biblioteca=vazio&busca=61924&qFacets=61924